Please wait a minute...
img

官方微信

遥感技术与应用  2015, Vol. 30 Issue (5): 868-875    DOI: 10.11873/j.issn.1004-0323.2015.5.0868
特约论文     
基于Landsat 8影像和能量平衡的西安市热场格局研究
李瑶,潘竟虎,罗晶
(西北师范大学地理与环境科学学院,甘肃 兰州730070)
Urban Heat Environment and Surface Energy Balance Analysis of Xi an based on LDCM Remote Sensing
Li Yao,Pan Jinghu,Luo Jing
(College of Geographic and Environmental Science,Northwest Normal University,Lanzhou 730070,China)
 全文: PDF 
摘要:

基于2014年8月15日的Landsat 8影像,通过劈窗算法反演西安中心城区地表温度,定量测算热岛中心范围。估算多种地表能量分量,分析热环境格局与地表能量分量的关系。结果表明:(1)西安中心城区城市热岛集中分布在人口、居住、商业密集区、经济技术开发区以及植被覆盖较差的区域;(2)感热、波文比与地表温度呈正相关,人为热与温度呈不显著正相关,净辐射、潜热与地表温度呈显著负相关;(3)城市热岛的地表能量结构中感热与潜热差异是构成城市热岛差异的主要原因。

关键词: 热环境劈窗算法城市热岛能量平衡方程西安    
Abstract:

Based on Landsat8 image on August 15,2014,this study estimated the land surface temperature(LST)of Xi an City by the method of split-window algorithm.Then quantitatively estimated the scope of urban heat island.Besides,Estimated a variety of surface energy component based on the surface energy balance equation.The results show that:① Urban heat island of Xian central areas mainly distributed in densely inhabited district,populated area and business-intensive areas,economic and technological development zones with less vegetation cover;② Thermal and bowen ratio was positively related to surface temperature,anthropogenic heat and temperature were not significantly correlated,net radiation and latent heat were significantly negatively correlated to the surface temperature;③In the structure of the surface energy of the urban heat island,differences in sensible heat and latent heat mainly caused the differences in the urban heat island.

Key words: Thermal environment    Split-window algorithm    Urban heat islands    Energy balance equation    Xi an
收稿日期: 2014-09-14 出版日期: 2015-12-08
:  TP 79  
基金资助:

甘肃省建设科技攻关项目(JK2012-25),甘肃省研究生导师科研项目(1201-14)。

通讯作者: 潘竟虎(1974-),男,甘肃嘉峪关人,副教授,博士,主要从事生态遥感与GIS应用研究。Email:panjh-nwnu@163.com。    
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
李瑶
潘竟虎
罗晶

引用本文:

李瑶,潘竟虎,罗晶. 基于Landsat 8影像和能量平衡的西安市热场格局研究[J]. 遥感技术与应用, 2015, 30(5): 868-875.

Li Yao,Pan Jinghu,Luo Jing. Urban Heat Environment and Surface Energy Balance Analysis of Xi an based on LDCM Remote Sensing. Remote Sensing Technology and Application, 2015, 30(5): 868-875.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2015.5.0868        http://www.rsta.ac.cn/CN/Y2015/V30/I5/868



[1]Hu Juyang,Tang Shihao,Dong Lixin.Land Surface Temperature Retrieval from FY3A/MERSI[J].Remote Sensing Technology and Application,2014,29(4):531-538.[胡菊旸,唐世浩,董立新.FY3A/MERSI地表温度反演[J].遥感技术与应用,2014,29(4):531-538.]

[2]Xu Hanqiu.Retrieval of the Reflectance and Land Surface Temperature of the Newly-Launched Landsat 8 Satellite[J].Chinese Journal of Geophysics(in Chinese),2015,58(3):741-747.[徐涵秋.新型Landsat8卫星影像的反射率和地表温度反演[J].地球物理学报,2015,58(3):741-747.]

[3]Miao S G,Dou J X,Chen F,et al.Analysis of Observations on the Urban Surface Energy Balance in Beijing[J].Science China Earth Sciences,2012,55(11):1881-1890.

[4]Jiang Lei,Li Nana,Ji Mingxia,et al.New Progress in Research on Town Surface Energy Balance Schemes[J].Journal of Lanzhou University (Natural Sciences),2013,49(4):483-490.[蒋磊,李娜娜,季明霞,等.城市地表能量平衡方案研究的新进展[J].兰州大学学报(自然科学版),2013,49(4):483-490.]

[5]Wang Chenggang,Sun Jianning,Hu Fei,et al.Observation and Analysis of the Characteristics of Urban Concrete Surface Energy Balance[J].Journal of Nanjing University(Natural Sciences),2007,43(3):270-279.[王成刚,孙鉴泞,胡非,等.城市水泥下垫面能量平衡特征的观测与分析[J].南京大学学报(自然科学版),2007,43(3):270-279.]

[6]Zhang Xuyang,Ning Haiwen,Du Jiwen,et al.The Impact of Urban Heat Island Effect on High Temperature in Summer in Xian[J].Journal of Arid Land Resources and Environment,2010,24(1):95-101.[张旭阳,宁海文,杜继稳,等.西安城市热岛效应对夏季高温的影响[J].干旱区资源与环境,2010,24(1):95-101.]

[7]NASA.LDCMLaunch[EB/OL].http://www.nasa.gov/mission_pages/landsat/launch/index.html.2013.

[8]Jiang Gaozhen,Han Bin,Gao Yingbo,et al.Review of 40- Year Earth Observation with Landsat Series and Prospects of LDCM[J].Journal of Remote Sensing,2013,17(5):1034-1047.[姜高珍,韩冰,高应波,等.Landsat系列卫星对地观测40年回顾及LDCM前瞻[J].遥感学报,2013,17(5):1034-1047.]

[9]Qin Zhihao.Split Window Algorithms for Retrieving Land Surface Temperature from NOAA-AVHRR Data[J].Remote Sensing for Land & Resources,2001,(2):34-41.[覃志豪.用NOAA-AVHRR热通道数据演算地表温度的劈窗算法[J].国土资源遥感,2001,(2):34-41.]

[10]Rozenstein O,Qin Z H,Dermian Y,et al.Derivation of Land Surface Temperature for Landsat-8 TIRS Using a Split Window Algorithm[J].Sensors,2014,14:5768-5780.

[11]Li Yao,Pan Jinghu.Spatial Pattern On Urban Heat Environment Using Split Window Algorithm and Spectral Mixture Analysis based on Landsat 8 Images——A Case Study in Lanzhou[J].Arid Land Geograph,2015,38 (1):111-119.[李瑶,潘竟虎.基于Landsat 8劈窗算法与混合光谱分解的城市热岛空间格局分析——以兰州市中心城区为例[J].干旱区地理,2015,38 (1):111-119.]

[12]Chen Hanyue,Niu Zheng,Bi Haibo.A Comparison of Two Split- Window Algorithms for Retrieving Land Surface Temperature from MODIS Data[J].Remote Sensing Technology and Application,2013,28(2):174-181.[陈瀚阅,牛铮,毕海波.MODIS数据地表温度反演劈窗算法比较[J].遥感技术与应用,2013,28(2):174-181.]

[13]Gao Maofang,Qin Zhihao,Xu Bin.Estimation of the Basic Parameters for Deriving Surface Temperature from MODIS Data[J].Arid Zone Research,2007,24(1):113-119.[高懋芳,覃志豪,徐斌.用MODIS数据反演地表温度的基本参数估计方法[J].干旱区研究,2007,24(1):113-119.]

[14]Pan Jinghu,Yang Wangming.Spatiotemporal Pattern of Urban Heat Island in Lanzhou of Northwest China based on Fractal Net Evolution Approach and Spectral Mixture Analysis[J].Chinese Journal of Ecology,2013,32(1):178-185.[潘竟虎,杨旺明.基于分型网络演化算法和混合光谱分解的兰州市中心城区热岛的时空格局[J].生态学杂志,2013,32(1):178-185.]

[15]Xiao Jieying,Zhang Qian,Wang Yan,et al.Urban Surface Heat Flux Analysis based on Remote Sensing:A Case Study of Shijiazhuang City[J].Scientia Geographica Sinica,2014,34(3):338-343.[肖捷颖,张倩,王燕,等.基于地表能量平衡的城市热环境遥感研究——以石家庄市为例[J].地理科学,2014,34(3):338-343.]

[16]Li Baofu,Chen Yaning,Li Weihong,et al.Remote Sensing and the SEBAL Model for Estimating Evapotranspiration in the Tarim River[J].Acta Geographica Sinica,2011,66(9):1230-1238.[李宝富,陈亚宁,李卫红,等.基于遥感和SEBAL模型的塔里木河干流区蒸散发估算[J].地理学报,2011,66(9):1230-1238.]

[17]Voogt J A,Grimmond C S B.Modeling Surface Sensible Heat Flux Using Surface Radiative Temperatures in a Simple Urban Area[J].Journal of Applied Meteorology,2000,39:1679-1699.

[18]Allen R G,Pereira L S,Raes D,et al.Crop Evapotranspiration Guidelines for Computing Crop Water Requirements[M].Rome:FAO Irrigation and Drainage Paper,1998:300.

[19]Liang Youjia,Xu Zhongmin.Estimation of FAO Penman Monteith Model in the Middle Reaches of Heihe River based on System Dynamics[J].Pastcultral Science,2011,28(10):18\|26.[梁友嘉,徐中民.基于系统动力学的黑河中游地区FAO Penman\|Monteith模型评价研究[J].草业科学,2011,28(10):18\|26.]

[1] 王琳,徐涵秋,李胜. 重钢重工业区迁移对区域生态的影响研究[J]. 遥感技术与应用, 2018, 33(3): 387-397.
[2] 卢惠敏,李飞,张美亮,杨刚,孙伟伟. 景观格局对杭州城市热环境年内变化的影响分析[J]. 遥感技术与应用, 2018, 33(3): 398-407.
[3] 何炳伟,赵伟,李爱农,冯文兰,谭剑波,雷光斌,南希. 基于Landsat 8遥感影像的新旧城区热环境特征对比研究-以成都市为例[J]. 遥感技术与应用, 2017, 32(6): 1141-1150.
[4] 李小龙,杨英宝,曹利娟,章勇. 基于遥感和CFD模拟的城市绿地形态对热环境的影响研究[J]. 遥感技术与应用, 2016, 31(6): 1150-1157.
[5] 张海龙,祝善友,王明江,章钊颖,张桂欣. 基于3D建筑物数据的天空开阔度估算及其城市热岛应用研究——以Adelaide为例[J]. 遥感技术与应用, 2015, 30(5): 899-907.
[6] 李乐,徐涵秋. 杭州市城市空间扩展及其热环境变化[J]. 遥感技术与应用, 2014, 29(2): 264-272.
[7] 陈瀚阅,牛铮,毕海波. MODIS数据地表温度反演劈窗算法比较[J]. 遥感技术与应用, 2013, 28(2): 174-181.
[8] 孙 静,赵 萍,叶 琦. 一种ASTER数据地表温度反演的劈窗算法[J]. 遥感技术与应用, 2012, 27(5): 728-734.
[9] 刘文渊,谢亚楠,万智龙,郑 和. 不同地表参数变化的上海市热岛效应时空分析[J]. 遥感技术与应用, 2012, 27(5): 797-803.
[10] 张道卫,郭华东,孙中昶. 超大城市地表特征参数估算及其对城市热环境的影响研究[J]. 遥感技术与应用, 2012, 27(1): 51-57.
[11] 石涛,杨元建,张爱民,蒋跃林 ,荀尚培,张宏群. 基于TM和GIS的合肥市热环境研究[J]. 遥感技术与应用, 2011, 26(2): 156-162.
[12] 冯晓刚, 李 锐, 莫宏伟. 基于RS和GIS的城市扩展及驱动力研究—以西安市为例[J]. 遥感技术与应用, 2010, 25(2): 202-208.
[13] 曾永年, 张少佳, 张鸿辉, 黄炜, 刘慧敏. 城市群热岛时空特征与地表生物物理参数的关系研究[J]. 遥感技术与应用, 2010, 25(1): 1-7.
[14] 盛辉, 万红, 崔建勇, 郭鹏. 基于TM影像的城市热岛效应监测与预测分析[J]. 遥感技术与应用, 2010, 25(1): 8-14.
[15] 潘竟虎,刘春雨,李晓雪. 基于混合光谱分解的兰州城市热岛与下垫面空间关系分析[J]. 遥感技术与应用, 2009, 24(4): 462-468.